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At Simplilearn, we greatly value the trust of our patrons. Our courses are designed to deliver an effective learning experience, and have helped over half a million find their professional calling. But if you feel your course is not to your liking, we offer a 7-day money-back guarantee. Just send us a refund request within 7 days of purchase, and we will refund 100% of your payment, no questions asked!

For Self-Paced Learning :

Raise refund request within 7 days of purchase of course. Money back guarantee is void if the participant has accessed more than 25% content.

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Raise refund request within 7 days of commencement of the first batch you are eligible to attend. Money back guarantee is void if the participant has accessed more than 25% content of an e-learning course or has attended Online Classrooms for more than 1 day.

Course description

Why learn Data Science with Python?

Python is a multi-paradigm or versatile programming language that can be considered as a sort of swiss knife for the coding world. This is because it supports structured programming, Object Oriented Programming, and even functional programming patterns. The versatility of Python undoubtedly makes it the best-suited programming language for the data scientists. Here are some of the other advantages of python for data science, which will help you understand why you should learn data science with Python:

Python is a powerful open source programming language, which means that it’s free to use while having all the properties that a programming language should have.

It is a versatile programming language that supports Object-Oriented Programming, Structured Programming, and functional programming patterns.

Python has some 72,000 libraries in the Python Package Index that aid in scientific calculations and machine learning applications.

Python sports an easy to understand and readable syntax that ensures that the development time is cut into half when compared with other programming languages.

Python enables you to perform data analysis, data manipulation, and data visualization, which are very important in data science.

All the above-mentioned advantages of Python programming language makes it ideal to be used for data science by the data scientists. Owing to the extensibility and general purpose nature, it is recommended that you learn data science with Python.

What are the course objectives?

The Data Science with Python course will furnish you with in-depth knowledge of the various libraries and packages required to perform data analysis, data visualization, web scraping, machine learning and natural language processing using Python.

Python has surpassed Java as the top language used to introduce US students to programming and computer science, and 46 percent of data science jobs list Python as a required skill.

What skills will you learn?

This Python for Data Science training course will enable you to:

Gain an in-depth understanding of data science processes, data wrangling, data exploration, data visualization, hypothesis building, and testing. You will also learn the basics of statistics

Install the required Python environment and other auxiliary tools and libraries

Who should take this Python for Data Science course?

There is a booming demand for skilled data scientists across all industries that make this course suited for participants at all levels of experience. We recommend this Data Science with Python training particularly for the following professionals:

Analytics professionals who want to work with Python

Software professionals looking to get into the field of analytics

IT professionals interested in pursuing a career in analytics

Graduates looking to build a career in analytics and data science

Experienced professionals who would like to harness data science in their fields

Anyone with a genuine interest in the field of data science

Prerequisites: There are no prerequisites for this Data Science with Python course. The Python basics course included with this program provides additional coding guidance.

What projects are included in this Python for Data Science certification course?

The course includes four real-world, industry-based projects. Successful evaluation of one of the following projects is a part of the certification eligibility criteria:

Project 1: Products rating prediction for Amazon

Amazon, one of the leading US-based e-commerce companies, recommends products within the same category to customers based on their activity and reviews on other similar products. Amazon would like to improve this recommendation engine by predicting ratings for the non-rated products and add them to recommendations accordingly.

Domain: E-commerce

Project 2: Demand Forecasting for Walmart

Predict accurate sales for 45 stores of Walmart, one of the US-based leading retail stores, considering the impact of promotional markdown events. Check if macroeconomic factors like CPI, unemployment rate, etc. have an impact on sales.

Domain: Retail

Project 3: Improving customer experience for Comcast

Comcast, one of the US-based global telecommunication companies wants to improve customer experience by identifying and acting on problem areas that lower customer satisfaction if any. The company is also looking for key recommendations that can be implemented to deliver the best customer experience.

Domain: Telecom

Project 4: Attrition Analysis for IBM

IBM, one of the leading US-based IT companies, would like to identify the factors that influence attrition of employees. Based on the parameters identified, the company would also like to build a logistics regression model that can help predict if an employee will churn or not.

Domain: Workforce Analytics

Project 5: NYC 311 Service Request Analysis

Perform a service request data analysis of New York City 311 calls. You will focus on data wrangling techniques to understand patterns in the data and visualize the major complaint types.

Domain: Telecommunication

Project 6: MovieLens Dataset Analysis

The GroupLens Research Project is a research group in the Department of Computer Science and Engineering at the University of Minnesota. The researchers of this group are involved in several research projects in the fields of information filtering, collaborative filtering and recommender systems. Here, we ask you to perform an analysis using the Exploratory Data Analysis technique for user datasets.

Domain: Engineering

Project 7: Stock Market Data Analysis

As a part of this project, you will import data using Yahoo data reader from the following companies: Yahoo, Apple, Amazon, Microsoft and Google. You will perform fundamental analytics, including plotting, closing price, plotting stock trade by volume, performing daily return analysis, and using pair plot to show the correlation between all of the stocks.

Domain: Stock Market

Project 8: Titanic Dataset Analysis

On April 15, 1912, the Titanic sank after colliding with an iceberg, killing 1502 out of 2224 passengers and crew. This tragedy shocked the world and led to better safety regulations for ships. Here, we ask you to perform an analysis using the exploratory data analysis technique, in particular applying machine learning tools to predict which passengers survived the tragedy.

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How do I earn my Simplilearn certificate?

To become a Certified Data Scientist with Python, you must fulfil the following criteria:

Complete one project out of the two provided in the course. Submit the deliverables of the project in the LMS which will be evaluated by our lead trainer

Score a minimum of 60% in any one of the two simulation tests

Complete 85% of the course

Attend one complete batch.

Course advisor

Alvaro Fuentes Founder and Data Scientist at Quant Company

Alvaro is a Data Scientist who founded Quant Company and has also worked as a lead Economic analyst in the Central Bank of Guatemala. He is a M.S. in Quantitative Economics and Applied Mathematics and is actively involved in consulting and training in the data science space.

Reviews

Solomon Olutu Snr Principal QA Architect at Comcast, Philadelphia

Simplilearn's Data Science with Python training was a great experience. Their trainers are the best that I have come across since I started learning with Silplilearn. He is always prepared for class with a well-documented note session which is also useful for hands-on learning after class to enhance the learning experience. Thanks Simplilearn. This is the best platform that I have come across.

Tham Chup Wai Singapore

I just completed 3 classes under this program - Data Science Using SAS, R and Big Data Hadoop and Spark Developer. I am currently enrolled in Python training.
What I like the most is that the live recordings from each class are lifetime references for us to review in the future.
The self-running videos in each topic were also very useful as they cover theory which might not have been covered during the live classes.
I have made significant gains so far in my knowledge of key technologies and tools in Data Science.
Together with electives offered under this program, I will eventually be getting a comprehensive foundation training in Data Science.

Gaurav Dubey Associate Consultant at Syntel, Pune

Prior to joining Data Science course with Simplilearn, I had little knowledge about it. The certification helped me to understand the Machine Learning, Web Scraping, Natural Language Processing in detail. The trainer was very helpful and was always there to guide me in every step. The certification helped me to enhance my career from Software Engineer to Associate Consultant with a salary hike. I am planning to take a few more course from Simplilearn in future.

Jatin Alwani Student at Lovely Professional University, Jalandhar

I have enrolled for Data Science certification from Simplilearn. The course materials are great and the trainers are also very helpful. The industry-based project is the best part of the course. Simplilearn is better than any others in the market.

Shoeb Mohammad Analyst at Accenture, Delhi

I had joined the Data Science certification from Simplilearn. The course content was really good. The trainer puts a lot of efforts into explaining every detail which made the learning very absorbing. The customer support is always available whenever you need help. I actually feel one step forward towards my goal. Thank you.

FAQs

What are the system requirements?

To run Python, your system must fulfill the following basic requirements:

32 or 64-bit Operating System

1GB RAM

The instruction uses Anaconda and Jupyter notebooks. The e-learning videos provide detailed instruction on how to install them.

Who are our instructors and how are they selected?

All of our highly qualified trainers are industry experts with at least 10-12 years of relevant teaching experience. Each of them has gone through a rigorous selection process that includes profile screening, technical evaluation, and a training demo before they are certified to train for us. We also ensure that only those trainers with a high alumni rating remain on our faculty.

What are the modes of training offered for this Python for Data Science course?

Live Virtual Classroom or Online Classroom: In online classroom training, you have the convenience of attending the course remotely from your desktop via video conferencing to enhance your productivity and reduce the time spent away from work or home.

Online Self-Learning: In this mode, you will receive lecture videos and can proceed through the course at your convenience.

WinPython portable distribution is the open source environment on which all hands-on exercises will be performed. Instructions for installation will be given during the training.

What if I miss a class?

Simplilearn provides recordings of each class so you can review them as needed before the next session.

Can I cancel my enrollment? Will I get a refund?

Yes, you can cancel your enrollment if necessary. We will refund the course price after deducting an administration fee. To learn more, you can view our Refund Policy.

Who provides the certification?

At the end of the training, subject to satisfactory evaluation of the project as well as passing the online exam (minimum score 80%), you will receive a certificate from Simplilearn stating that you are a certified data scientist with Python.

Are there any group discounts for classroom training programs?

Yes, we have group discount packages for classroom training programs. Contact Help & Support to learn more about the group discounts.

How do I enroll for the Data Science with Python online training?

You can enroll for this training on our website and make an online payment using any of the following options:

Visa Credit or Debit Card

MasterCard

American Express

Diner’s Club

PayPal

Once payment is received you will automatically receive a payment receipt and access information via email.

What is Global Teaching Assistance?

Our teaching assistants are a dedicated team of subject matter experts here to help you get certified in your first attempt. They engage students proactively to ensure the course path is being followed and help you enrich your learning experience, from class onboarding to project mentoring and job assistance. Teaching Assistance is available during business hours.

What is covered under the 24/7 Support promise?

We offer 24/7 support through email, chat, and calls. We also have a dedicated team that provides on-demand assistance through our community forum. What’s more, you will have lifetime access to the community forum, even after completion of your course with us.

* Disclaimer

* The projects have been built leveraging real publicly available data-sets of the mentioned organizations.